Enterprise Finance Reimagined: Harnessing ERP and Data Innovation for Next-Generation Value Creation

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John Wesly Sajja, Anusha Nerella

Abstract

The financial stability of a business depends on its legacy ERP systems, but these systems can hinder innovation and adaptation to changing market conditions. Businesses now more than ever depend on real-time data insights to stay ahead of the competition and comply with regulations that are always changing. This study investigates how integrating cloud-based analytics, AI, and ML with current ERP systems may lead to a rethinking of business finance. More openness, data innovation, and both real-time and predictive decision-making are made possible by the suggested ERP-driven financial transformation paradigm. Several case studies in a variety of industries, including manufacturing, retail, and finance, have demonstrated improvements in forecast accuracy, operational efficiency, and compliance assurance. The transition from transactional ERP systems to smart, flexible platforms that free up new value for businesses is evident through comparison. Data innovation is the driving force behind contemporary enterprise resource planning (ERP), which has implications for the financial future of businesses.

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